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    Wuhan University Reports Findings in Robotics (Skill assessment based on clutch use in cross-platform robot-assisted surgery)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news originating from Hubei, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Many studies have investigated the transfer of skills between laparoscopic and robot-assisted surgery (RAS). Th ese studies have considered time, error, and clinical outcomes in the assessment of skill transfer.”

    Studies Conducted at Georgia State University on Artificial Intelligence Recentl y Reported (The Design of Human-artificial Intelligence Systems In Decision Scie nces: a Look Back and Directions Forward)

    11-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reporting originating from Atlanta, G eorgia, by NewsRx correspondents, research stated, “The field of decision scienc es is undergoing significant disruption and reinvention because of rapid advance s in artificial intelligence (AI) technologies and the design of complex human - artificial intelligence systems (HAIS). The integration of human decision behavi ors with cutting -edge AI capabilities is transforming business and society in i rreversible ways.”

    New Machine Learning Findings from University of Technology Sydney Described (Hy brid Uncertain Buckling Analysis for Engineering Structures Through Machine Lear ning Method)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Sydney, Australia, by NewsRx editors, research stated, “Buckling analysis is fundamental yet essential for engineering structures in stability assessment, design optimization, struct ural design, and the like. Uncertainty as an inherent feature in engineering sig nificantly affects structural buckling behaviour.” Financial support for this research came from Australian Research Council.

    Data from University of Agder Provide New Insights into Robotics and Artificial Intelligence (Enhancing unmanned ground vehicle performance in SAR operations: i ntegrated gesture-control and deep learning framework for optimised victim detec tion)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics and artificia l intelligence is the subject of a new report. According to news reporting from Grimstad, Norway, by NewsRx journalists, research stated, “In this study, we add ress the critical need for enhanced situational awareness and victim detection c apabilities in Search and Rescue (SAR) operations amidst disasters. Traditional unmanned ground vehicles (UGVs) often struggle in such chaotic environments due to their limited manoeuvrability and the challenge of distinguishing victims fro m debris.”

    Researchers at Drexel University Target Machine Learning (Machine Learning To Mo del Gentrification: a Synthesis of Emerging Forms)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Philadelphia , Pennsylvania, by NewsRx journalists, research stated, “Gentrification is a com plex and context-specific process that involves changes in the built environment and social fabric of neighborhoods, often resulting in the displacement of vuln erable communities. Machine Learning (ML) has emerged as a powerful predictive t ool that is capable of circumventing the methodological challenges that historic ally held back researchers from producing reliable forecasts of gentrification.”

    Findings in Machine Learning Reported from Centro de Automatica y Robotica (Auto mated machine learning methodology for optimizing production processes in small and medium-sized enterprises)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Madrid, Spain, by NewsRx correspondents, research stated, “Machine learning can be effectively us ed to generate models capable of representing the dynamic of production processe s of small and medium-sized enterprises.” Funders for this research include Ministerio De Ciencia, Innovacion Y Universida des; European Commission.

    Gansu University of Traditional Chinese Medicine Reports Findings in Robotics (T reatment of lumbar disc herniation with robot combined with unilateral biportal endoscopic technology: A case report)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Lanzhou, People’s Republic of China, by NewsRx editors, research stated, “This reported procedure combines the orthopedic surgical robot with the unilateral biportal endoscopy-lumbar interbo dy fusion (UBE-LIF), utilizing the UBE’s wide viewing field and operating space to perform minimally invasive decompressive fusion of the lesioned segment, and the orthopedic surgical robot’s intelligence and precision to perform percutaneo us pedicle screw placement. The advancement of this procedure lies in the superp osition of advantages and offsetting disadvantages of the two new technologies, and the maximum effect of treatment is achieved with maximum minimization of inv asiveness and precision under the monitoring of imaging instruments to maximize the benefit of patients, and this review reports a case of multiple-segment lumb ar decompression and fusion surgery for lumbar disc herniation robot-assisted UB E for reference.”

    Study Data from North-West University Provide New Insights into Machine Learning (Wheat Crop Genotype and Age Prediction Using Machine Learning With Multispectr al Radiometer Sensor Data)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Potchefstroo m, South Africa, by NewsRx correspondents, research stated, “Wheat (Triticum aes tivum) yield predictions can be improved by using multispectral remote sensing t o identify different genotypes and crop growth stages. We propose an innovative machine learning technique aimed at classifying diverse wheat crop genotypes and providing accurate estimations of plant age.” Financial support for this research came from Deanship of Graduate Studies and S cientific Research, Taif University.

    Findings from University of Seville Has Provided New Data on Machine Learning (S creening of Machine Learning Techniques On Predictive Maintenance: a Scoping Rev iew)

    18-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Seville, Spain, by NewsRx journ alists, research stated, “Center dot Predictive maintenance (PdM) is a set of ac tions and techniques to early detect failures and defects on machines before the y occur, and the usage of machine learning and deep learning techniques in predi ctive maintenance has increased during the last years. Even with this increase o f the literature, there is still a gap concerning the application of such techni ques for PdM in the industry, as there are no clear guidelines about which infor mation to use for a PdM system, how to process the information, and what machine learning techniques should be used in order to obtain acceptable results.”

    Research from Center for Medical Science Has Provided New Study Findings on Mach ine Learning (ELMOPP: an application of graph theory and machine learning to tra ffic light coordination)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting out of Virginia, United States, by NewsRx editors, research stated, “Purpose - This paper presents the Edge Loa d Management and Optimization through Pseudoflow Prediction (ELMOPP) algorithm, which aims to solve problems detailed in previous algorithms; through machine le arning with nested long short-term memory (NLSTM) modules and graph theory, the algorithm attempts to predict the near future using past data and traffic patter ns to inform its real-time decisions and better mitigate traffic by predicting f uture traffic flow based on past flow and using those predictions to both maximi ze present traffic flow and decrease future traffic congestion.”